\begin{tabular}{p{.45\textwidth}*{4}{r@{}l}}
\hline
\hline
& \multicolumn{2}{c}{Model 1} & \multicolumn{2}{c}{Model 2}  \\
\hline
treated             &      -2.269&***&      -2.422&***&      -2.430&***&      -2.595&***\\
                    &     (0.675)&   &     (0.666)&   &     (0.732)&   &     (0.707)&   \\
v04b                &      -0.102&** &      -0.107&***&      -0.113&** &      -0.119&***\\
                    &     (0.039)&   &     (0.038)&   &     (0.046)&   &     (0.044)&   \\
population          &       0.001&***&       0.001&***&       0.001&***&       0.001&***\\
                    &     (0.000)&   &     (0.000)&   &     (0.000)&   &     (0.000)&   \\
v106                &      -0.013&   &      -0.017&   &      -0.000&   &      -0.002&   \\
                    &     (0.016)&   &     (0.015)&   &     (0.020)&   &     (0.019)&   \\
male                &       0.433&   &       0.535&*  &       0.361&   &       0.453&   \\
                    &     (0.285)&   &     (0.277)&   &     (0.415)&   &     (0.410)&   \\
riskloss            &      -0.021&   &      -0.032&   &       0.051&   &       0.045&   \\
                    &     (0.132)&   &     (0.126)&   &     (0.118)&   &     (0.112)&   \\
muslim              &      -0.571&   &      -0.585&   &      -0.780&   &      -0.806&   \\
                    &     (1.259)&   &     (1.204)&   &     (0.993)&   &     (0.927)&   \\
christian           &      -1.384&   &      -1.520&   &      -1.714&   &      -1.868&   \\
                    &     (1.481)&   &     (1.421)&   &     (1.228)&   &     (1.155)&   \\
education           &            &   &            &   &       0.229&   &       0.249&   \\
                    &            &   &            &   &     (0.219)&   &     (0.211)&   \\
income10k           &            &   &            &   &      -0.048&   &      -0.053&   \\
                    &            &   &            &   &     (0.226)&   &     (0.224)&   \\
v205                &            &   &            &   &      -0.623&   &      -0.629&   \\
                    &            &   &            &   &     (0.429)&   &     (0.398)&   \\
Constant               &       5.892&***&       6.116&***&       5.894&***&       6.084&***\\
                    &     (1.423)&   &     (1.392)&   &     (1.367)&   &     (1.307)&   \\
var(e.DictatorTakeManna)&            &   &       5.127&***&            &   &       4.988&***\\
                    &            &   &     (1.147)&   &            &   &     (1.112)&   \\
\hline
N.obs.              &          80&   &          80&   &          79&   &          79&   \\
\hline \multicolumn{9}{p{\textwidth}} {\footnotesize{\textbf{Notes:} Dependent variable: coins appropriated by the dictator. Models 1 and 3: OLS regression, models 2 and 4: left-censored Tobit regression. All models include village fixed-effects. Robust standard errors clustered at the village level. Compared to models 1 and 2, models 3 and 4 controls for income, finance, and education levels. Controls include: age,  gender, religion, estimation of risk preferences. Symbols $***$, $**$, and $*$ indicate significance at the 1\%, 5\% and 10\% level, respectively.}} \end{tabular}
